Job Description

Overview:

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs.

We leverage our holistic portfolio of capabilities in consulting, design, engineering, operations, and emerging technologies to help clients realize their boldest ambitions and build future-ready, sustainable businesses.

A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, we have over 250,000 dedicated employees serving clients across 66 countries.

We deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.

A PROUD HISTORY OF OVER 75 YEARS
FY22 REVENUE 10.4 BN USD
WE’RE PRESENT IN 66 COUNTRIES
OVER 1,400 ACTIVE GLOBAL CLIENTS

Roles & Responsibilities:

Description:

IT Sr. Data Analyst works with business, data governance and IT partners to understand the data needs and identifies and documents the requirements for the project efforts. The DA works closely with the identified business data owner/SMEs and performs his/her own research to understand the elements, performs data analysis, gathers all necessary element attributes and performs any required mapping. The DA performs data tracing and data lineage exercises to bring transparency to the flow of data. The DA also performs root cause analysis on data quality issues to determine where the issue is and then works with business and IT partners to determine a solution. The DA serves as a requirement liaison between business and IT to ensure all questions are answered, requirements are clarified and necessary updates are captured. The DA supports the development and testing through requirement development and validation. The DA reports team activities to project management, team management, functional experts, team members, and project stakeholders. The resource will resolve cross-functional issues and involve appropriate functional units to ensure a seamless project implementation.

Qualifications:

Experience with projects relating to data management efforts including but not limited to the implementation of a Enterprise Data Model, Operational Data Store, Metadata Repository and Master Data Management
Strong understanding of relational databases
Experience performing extensive data mapping exercises
Experience performing in-depth data analysis and data profiling activities
Strong ability to both write and interpret complex SQL
Experience eliciting requirements during real time collaborative sessions with stakeholders located in different geographic locations
Strong interpersonal skills and techniques to solve dynamic problems; excellent teamwork skills
Must have excellent written and verbal communication skills, along with strong consulting skills
Experience identifying and implementing process improvement
Solid skills effectively working multiple projects simultaneously in a cross-functional environment
Strong organizational skills and ability to influence team dynamics
Proficiency in project management methods and techniques
Ability to estimate work effort at project milestones for data analysis activities with progressively improved variance to actual effort as scope and requirements are refined
Ability to research, classify, and prioritize business, user, functional and non-functional requirements
Experience in varying SDLC methodologies especially Agile
Must have experience working with Mainframe, Client/Server, Web, and system architecture
Proficiency in MS Office (Word, Excel, Visio, PowerPoint) with extensive experience using Excel for data analysis
Education: Bachelor's Degree or Equivalent work experience

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